LangGraph-Chatchat functions as a memory management plugin for the ChatChat conversational framework, utilizing LangGraph’s graph database model to store and retrieve conversation context. During runtime, user inputs and agent responses are converted into semantic nodes with relationships, forming a comprehensive knowledge graph. This structure allows efficient querying of past interactions based on similarity metrics, keywords, or custom filters. The plugin supports configuration of memory persistence, node merging, and TTL policies, ensuring relevant context retention without bloat. With built-in serializers and adapters, LangGraph-Chatchat seamlessly integrates into ChatChat deployments, providing developers a robust solution for building AI agents capable of maintaining long-term memory, improving response relevance, and handling complex dialog flows.

UpNotify is a powerful tool for freelancers looking to land jobs on Upwork. It restores the RSS functionality that Upwork removed and adds enhanced filtering features. Users can customize job alerts based on various criteria such as keywords, budgets, and client history. This tool allows you to receive instant notifications about new job postings that match your preferences, helping you to act swiftly and efficiently in applying for jobs.

yBully is a powerful Chrome extension that focuses on cyberbullying detection specifically on Twitter. It scans tweets in real-time, identifying potential harassment and bullying language. The tool also provides functionalities to restrict users from sending harmful tweets, thus promoting a safer social media experience. Designed for those who wish to take a stand against bullying, yBully allows users to create personalized filters and view reports on detected incidents.

DeepSeek News Agent uses NewsAPI to fetch the latest articles matching user-specified keywords or topics and then processes them with OpenAI GPT models. It generates concise summaries, extracts sentiment scores, highlights trending themes, and clusters related stories. Users interact via a chat interface or command line to ask follow-up questions, request deeper analysis, or adjust filters. The agent maintains conversational context, allowing multi-turn queries for more refined insights, and can be extended or embedded into custom applications.